| Jul 29, 2024 | The extended version of my LoG paper “Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs” has been accepted to the journal Knowledge-Based Systems (title: “Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs”). Thanks to Prof. Shin for the supervision and to the reviewers! The paper is available here as well as the arXiv version. |
| Jun 5, 2024 | The paper “On the Feasibility of Fidelity\(^{-}\) for Graph Pruning” was accepted in IJCAI 2024 Workshop on Explainable Artificial Intelligence (XAI) where I am the first author. Thanks to Prof. Shin for the supervision and to the reviewers! The paper is available here. |
| Mar 26, 2024 | The paper “Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation” was accepted in SIGIR 2024 (Short track), where I participated as the second author by participating in the experiments (e.g., runtime measurements, baselines) and writing. Thanks to all the co-authors and the reviewers! The paper is available here. |
| Mar 15, 2024 | The paper “PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks” was accepted in Transactions on Pattern Analysis and Machine Intelligence (TPAMI), where I am the first author. Thanks to all the co-authors and the reviewers! The paper is available here. |
| Jan 15, 2024 | I will start my month-long journey to the University of New South Wales (UNSW) in Sydney, Australia, as a visiting researcher. I will be working with Prof. Xin Cao and his group on explanation methods for graph neural networks. I am excited to meet new people and learn new things! (Also, check out my blog post for the photos during the stay) |
| Nov 19, 2023 | The paper ““Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs” was accepted in LoG 2023, where I am the first author. Thanks to all the co-authors and the reviewers! The paper is available here. |
| Jul 1, 2023 | The paper “Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes” was accepted in IEEE Transactions on Emerging Topics in Computing, where I am the first author. Thanks to all the co-authors and the reviewers! The paper is available here. |
| Oct 7, 2022 | I was awarded the Outstanding applied AI paper for my paper “Prototype-Based Explanations for Graph Neural Networks” in the 1st Yonsei AI workshop. Thanks to all the co-authors and the organizers of the event! |
| Feb 16, 2022 | The paper “Explainable gait recognition with prototyping encoder-decoder” has been accepted to Plos One, where I participated as a co-author by suggesting to apply SA and LRP for explainability in gait recognition, developing the validation strategy by comparing with occusion-based results, conducting experiments and writing. Thanks to all the co-authors and the reviewers! The paper is available here. |
| Jan 27, 2022 | I was awarded the Bronze Medal in the 28th Samsung Humantech Paper Award for my paper “Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes”! |
| Dec 22, 2021 | The paper “Prototype-Based Explanations for Graph Neural Networks (Student Abstract)” has been accepted to AAAI 2022 and was selected as one of the finalists for oral presentation. I participated as the first author and thanks to all the co-authors and the reviewers! The paper is available here. |
| Oct 7, 2020 | My team was awarded The Yound Data Journalist of the Year at the 3rd Data Journalism Korea Conference, where I particiapted in collecting and processing raw data for the “ghost protests” in Seoul, alongside analysis and visualization. Thanks to all the team members and the organizers of the event! The article is available here. |